Mohit Vachhani

Software Engineer

Gurugram, Haryana, India9 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led a team of 10+ engineers at Lyearn.
Achieved 40% throughput boost migrating Node.js to Go.
Architected AI-driven systems enhancing client engagement.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI-driven SaaS solutions.

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Skills

Core Skills

Backend DevelopmentAi IntegrationMicroservices ArchitectureData EngineeringEvent-driven ArchitectureCloud Computing

Other Skills

AI-driven systemsAWS KinesisAWS LambdaAlgorithmsAmazon DynamoDBAmazon RedshiftApache KafkaCC++Competitive ProgrammingDynamoDBElasticsearchGitGoHTML

About

I’m a Staff Software Engineer with 7+ years building scalable, AI-driven distributed systems. I co-led the MGOD [https://github.com/Lyearn/mgod] Go–Mongo mapping library and contributed in development of DiceDb, a SQL-backed Redis alternative. At Lyearn, I lead 10+ engineers to drive platform growth from 10× to 100×—architecting AI-powered microservices (OpenAI embeddings, semantic search) and Kafka+MongoDB pipelines that cut p90 latencies under 500 ms and slashed MTTR by 60%. Previously, as a Senior Backend Engineer, I migrated Node.js services to Go (40% throughput boost), unified 4+ microservices with GraphQL stitching (halved frontend complexity), and tuned data stores for 2× query volume at 30% lower CPU. I began my career as an SDET intern at Amazon. I thrive on deep-dives into system design and sharing insights—let’s connect on scale, performance, or AI-integration challenges!

Experience

Lyearn

3 roles

Staff Software Engineer

Promoted

Jun 2023 – Present · 2 yrs 9 mos

Team Leadership & Delivery: Lead a backend squad of 10+ engineers, delivering 90% of features on schedule and cutting critical bugs by 28%.
Performance & Scalability: Redesigned core Go and Node.js APIs—achieved a 35% reduction in p90 latency and sustained sub-500 ms response times at peak traffic.
Service Modernization: Migrated high-load Node.js services to Go, boosting throughput by 40% and slashing memory usage through improved concurrency.
AI-Driven Systems: Architected OpenAI-powered semantic search and multilingual support pipelines—lifted client engagement by 37% and reduced localization effort by 70%.
Event-Driven Architecture: Built a Kafka + MongoDB audit-logging system ingesting 50k msgs/min, cutting MTTR by 60% and resolving 80% of client traceability tickets.

GoNode.jsKafkaMongoDBAI-driven systemsBackend Development+1

Senior Software Engineer

Promoted

Jun 2020 – May 2023 · 2 yrs 11 mos

Architected a microservice application with Node.js, Kubernetes, and MongoDB to enhance user tracking and scalability.
By improving onboarding and real-time content creation, user satisfaction increased by 20%, and client interaction by 12%.
Utilized Type-GraphQL for data accessibility, achieved 85% test coverage, and led SOC 2/GDPR compliance efforts. Customizable dashboards boosted client interaction by 22%.

Node.jsKubernetesMongoDBType-GraphQLMicroservices ArchitectureBackend Development

Software Engineer

Aug 2018 – May 2020 · 1 yr 9 mos

Transitioned our backend to a serverless architecture using AWS Lambda, highlighting my Node.js and cloud expertise.
I was part of the team responsible for the seamless migration from MongoDB to DynamoDB, ensuring minimal downtime and data consistency.
Additionally, I contributed to integrating AWS Kinesis for event-based architecture and enabling real-time data streaming to Redshift for analytics, which were visualized on PowerBI dashboards.

AWS LambdaMongoDBDynamoDBAWS KinesisCloud ComputingBackend Development